{"title":"三眼立体视觉的有效投影校正","authors":"Qing Zhu, Dan Luo","doi":"10.1109/PDCAT.2013.34","DOIUrl":null,"url":null,"abstract":"In this paper, we describe an efficient projective rectification method that can be applied to trinocular rectification to improve the visual appearance of stereo vision. This method expends the matrix-based correcting homographic approach which has been proposed recently. In order to implement trinocular rectification, firstly, we obtain triplet images from the target objects through three cameras. The triplet images can be treated as two pairs and the homographies can project different image planes onto new planes. As a result, the rectification becomes the problems of seeking the common plane, and applying transformation or homography to images. Finally, through the proposed solution the trinocular rectification is accomplished. At the same time, Distortion reduction makes the rectified images more realistic.","PeriodicalId":187974,"journal":{"name":"2013 International Conference on Parallel and Distributed Computing, Applications and Technologies","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Efficient Projective Rectification for Trinocular Stereo Vision\",\"authors\":\"Qing Zhu, Dan Luo\",\"doi\":\"10.1109/PDCAT.2013.34\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we describe an efficient projective rectification method that can be applied to trinocular rectification to improve the visual appearance of stereo vision. This method expends the matrix-based correcting homographic approach which has been proposed recently. In order to implement trinocular rectification, firstly, we obtain triplet images from the target objects through three cameras. The triplet images can be treated as two pairs and the homographies can project different image planes onto new planes. As a result, the rectification becomes the problems of seeking the common plane, and applying transformation or homography to images. Finally, through the proposed solution the trinocular rectification is accomplished. At the same time, Distortion reduction makes the rectified images more realistic.\",\"PeriodicalId\":187974,\"journal\":{\"name\":\"2013 International Conference on Parallel and Distributed Computing, Applications and Technologies\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-12-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 International Conference on Parallel and Distributed Computing, Applications and Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PDCAT.2013.34\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Conference on Parallel and Distributed Computing, Applications and Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PDCAT.2013.34","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Efficient Projective Rectification for Trinocular Stereo Vision
In this paper, we describe an efficient projective rectification method that can be applied to trinocular rectification to improve the visual appearance of stereo vision. This method expends the matrix-based correcting homographic approach which has been proposed recently. In order to implement trinocular rectification, firstly, we obtain triplet images from the target objects through three cameras. The triplet images can be treated as two pairs and the homographies can project different image planes onto new planes. As a result, the rectification becomes the problems of seeking the common plane, and applying transformation or homography to images. Finally, through the proposed solution the trinocular rectification is accomplished. At the same time, Distortion reduction makes the rectified images more realistic.